Simultaneous Spectrophotometric Determination of Aspirin, Paracetamol, Caffeine, and Chlorphenamine from Pharmaceutical Formulations Using Multivariate Regression Methods

Abstract

This paper presents a simultaneous spectrophotometric determination of aspirin, paracetamol, caffeine, and chlorphenamine from commercial pharmaceutical products using principal component regression and partial-least squares regression. The concentration of the training set was established employing a partial factorial calibration design at four levels. Several quality parameters and recovery values obtained on authentic samples illustrated excellent performance characteristics concerning the goodness of fit and the accuracy and precision of prediction. Eight pharmaceutical formulations containing at least two of these four mentioned active ingredients and diverse electuaries were successfully analyzed. The obtained results were also validated by high-performance liquid chromatography.